Brolight BIM-6704 Series UV High-Sensitivity Spectrometer

Hangzhou Brolight Technology

Specifications

Spectrometer Type: Not Specified
Wavelength Range: 200 – 1700 nm
Detector: InGaAs 128-pixel non-cooled
Detector Pixel Size: 50 μm × 250 μm
Wavelength Range: 950 nm - 1700 nm
Resolution: 10 nm
A/D: 16 bit
Integrating Time: 0.1 ms - 65 s
Trigger Model: Normal Mode, Software, Hardware, Synchronization
Fiber Connector: SMA905
Operation Temperature: 5℃ - 35℃ (25℃ recommended)
Communication: USB2.0, RS232
Operation System: WinXP, Win7, Win8, Win10
Power Supply: USB or 5 VDC
Dimension: 165 mm × 110 mm × 38 mm
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Features


  • Compact Design: The BIM-6805 series NIR spectrometer features a compact optical path and structural design, making it ideal for system integration.

  • Non-Cooled InGaAs Detector: Utilizes a Hamamatsu non-cooled 128-pixel InGaAs detector for extremely low power consumption.

  • Flexible Configurations: Offers flexible and diverse configurations with two versions of the detector available: 128 pixels and 256 pixels.

  • Replaceable Slit Design: Allows for flexible switching of different resolutions and sensitivities to meet various spectral measurement needs.

  • Wide Spectral Range: Spectral detection range of 950nm-1700nm suitable for food sorting, biopharmaceuticals, life sciences, and system integration.

  • Secondary Development Support: Supports secondary development and OEM integration for customized applications.

  • Powerful Software Functions: Includes automatic calculation of peak wavelength and bandwidth.

  • Versatile Applications: Ideal for detecting freshness and sugar content in fruits and vegetables, fat and protein content in meat, quality analysis of grains and seeds, component analysis of oil products, and more.

  • Stable Measurement: Provides a stable intensity across the wide spectral measurement range.

Applications


  • Detection of freshness and sugar content of fruits and vegetables

  • Detection of fat and protein content of meat

  • Quality analysis of grains and seeds

  • Component analysis of oil products

  • Applications in life sciences

  • Pharmaceutical component analysis and process monitoring

  • Component analysis of plastic product production process

  • Material screening and quality control